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  1. Exponential distribution - Wikipedia

    • If a random variable X has this distribution, we write X ~ Exp (λ). The exponential distribution exhibits infinite divisibility. The cumulative distribution function is given by. The mean is the probability mass centre, that is, the first moment. The median is the preimage F−1 (1/2). See more

    Overview

    In probability theory and statistics, the exponential distribution or negative exponential distribution is the probability distribution of the distance between events in a Poisson point process, i.e., a process in which even… See more

    Definitions

    The probability density function (pdf) of an exponential distribution is
    Here λ > 0 is the parameter of the distribution, often called the rate parameter. The distribution is supported on the interval [0, ∞). If a … See more

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  1. The continuous random variable, say X is said to have an exponential distribution, if it has the following probability density function: λ is called the distribution rate. The mean of the exponential distribution is calculated using the integration by parts. Hence, the mean of the exponential distribution is 1/λ.

    byjus.com/maths/exponential-distribution/
    The mean or expected value of an exponentially distributed random variable X with rate parameter λ is given by E ⁡ [ X ] = 1 λ . {\displaystyle \operatorname {E} [X]={\frac {1}{\lambda }}.} In light of the examples given below , this makes sense: if you receive phone calls at an average rate of 2 per hour, then you can expect to wait half an hour for every call.
    en.wikipedia.org/wiki/Exponential_distribution
     
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  7. 5.4: The Exponential Distribution - Statistics LibreTexts

    Jun 2, 2024 · It is the value \(m\) in the probability density function \(f(x) = me^{(-mx)}\) of an exponential random variable. It is also equal to \(m = \dfrac{1}{\mu}\), where \(\mu\) is the mean of the random variable.

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